Confidence Intervals in Research
This part will make use of the following article, which explores how prevalent depression, anxiety, and stress are in healthcare workers at COVID 19 isolation sites in Botswana:
Siamisang, K., Kebadiretse, D., Tjirare, L. T., Muyela, C., Gare, K., & Masupe, T. (2022). Prevalence and predictors of depression, anxiety and stress among frontline healthcare workers at COVID-19 isolation sites in Gaborone, Botswana. PLoS ONE, 17(8), e0273052. https://doi.org/10.1371/journal.pone.0273052
Table 3 of the journal article displays the number of healthcare workers who report various levels of depression, anxiety, and stress. These numbers are presented as the number of workers as well as the percent of the total (447). Confidence intervals are given for each percentage value. Choose one level of either depression, anxiety, or stress (e.g., normal depression) to use to address the following questions.
Show how the given percentage was derived based on the sample data.
Write 1–2 sentences explaining how the confidence interval would be interpreted.
Based on this interval, provide one value that could be considered reasonable as the true population proportion and one that would not be considered reasonable as the true population proportion. Fully explain your reasoning.
If a subsequent study was completed that increased the sample size to 1,000 participants, explain one change you would expect to see in the confidence intervals. Explain why you feel this change would occur.
Table 1 of this journal article provides a breakdown of characteristics of the 447 participants in this study. The number of participants is given followed by the percentage in ().
Provide one reason why you believe a confidence interval was not presented for this data
Confidence Intervals in Research
This part will make use of the following article, which explores how prevalent depression, anxiety, and stress are in healthcare workers at COVID 19 isolation sites in Botswana:
Siamisang, K., Kebadiretse, D., Tjirare, L. T., Muyela, C., Gare, K., & Masupe, T. (2022). Prevalence and predictors of depression, anxiety and stress among frontline healthcare workers at COVID-19 isolation sites in Gaborone, Botswana. PLoS ONE, 17(8), e0273052. https://doi.org/10.1371/journal.pone.0273052
Table 3 of the journal article displays the number of healthcare workers who report various levels of depression, anxiety, and stress. These numbers are presented as the number of workers as well as the percent of the total (447). Confidence intervals are given for each percentage value. Choose one level of either depression, anxiety, or stress (e.g., normal depression) to use to address the following questions.
Show how the given percentage was derived based on the sample data.
Write 1–2 sentences explaining how the confidence interval would be interpreted.
Based on this interval, provide one value that could be considered reasonable as the true population proportion and one that would not be considered reasonable as the true population proportion. Fully explain your reasoning.
If a subsequent study was completed that increased the sample size to 1,000 participants, explain one change you would expect to see in the confidence intervals. Explain why you feel this change would occur.
Table 1 of this journal article provides a breakdown of characteristics of the 447 participants in this study. The number of participants is given followed by the percentage in ().
Provide one reason why you believe a confidence interval was not presented for this data
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